Data Engineer / Data Scientist

📋 Description

• Develop scalable data processing solutions using Python, PySpark, and Azure Databricks
• Build, maintain, and optimize batch and real-time streaming data pipelines
• Develop Spark DataFrame-based transformations and data processing workflows
• Debug, troubleshoot, and optimize Spark applications and Databricks jobs
• Implement Delta Lake solutions to improve data reliability, versioning, and query performance
• Develop APIs using Python or Scala for data and machine learning applications

🎯 Requirements

• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, Information
• 5–8 years of relevant professional experience in data engineering, data science, machine learning
• Strong hands-on expertise in Python and PySpark
• Good knowledge of Microsoft Azure and Azure Databricks
• Hands-on experience with MLOps practices and tools
• Practical experience supporting machine learning projects

🎁 Benefits

• Full-time position
• Remote work arrangement
• Immediate requirement with an opportunity to join a technology-focused data and AI environment
• Opportunity to work with modern cloud technologies including Microsoft Azure and Azure Databricks
• Hands-on exposure to Python, PySpark, Spark, Delta Lake, streaming, and MLOps
• Opportunity to contribute to machine learning projects and model deployment initiatives